roseking's picture
Add lean source and binary files (part 18)
67aee1d verified
Raw History Blame Contribute Delete
4.61 kB
import OAI.Analysis.FiniteFactor.OrbitSampling.Error
namespace OAI
namespace FiniteFactor
open MeasureTheory Filter
open scoped Classical Topology
noncomputable section
/-- The distinct and mixed error budget is summable along the actual stages. -/
theorem sourceSamplingCorrelationBudget_summable : Summable sourceSamplingCorrelationBudget := by
apply (sourceSampling_inverse_square_summable.mul_left (208*Real.exp 135)).of_nonneg_of_le
· intro stage; unfold sourceSamplingCorrelationBudget; positivity
intro stage
let m : ℝ := sourceBlockSize stage
have hm : 0 < m := sourceBlockSize_pos stage
have hm1 : 1 ≤ m := by
have hh : 100 ≤ sourceBlockSize stage := (sourceStage stage).m_ge_100
dsimp [m]
exact_mod_cast (show 1 ≤ sourceBlockSize stage by omega)
have hd : ((sourceSamplingPrefix stage).card : ℝ) ≤ 2*m :=
(sourceSamplingPrefix_card_bound stage).trans (by dsimp [m]; nlinarith)
have he : m*m^(-74 : ℝ) = m^(-73 : ℝ) := by
conv_lhs => lhs; rw [← Real.rpow_one m]
rw [← Real.rpow_add hm]; norm_num
calc
sourceSamplingCorrelationBudget stage ≤ (2*m)*(104*m^(-74 : ℝ))*Real.exp 135 := by
unfold sourceSamplingCorrelationBudget
exact mul_le_mul_of_nonneg_right (mul_le_mul_of_nonneg_right hd (by positivity)) (by positivity)
_ = (208*Real.exp 135)*m^(-73 : ℝ) := by rw [← he]; ring
_ ≤ (208*Real.exp 135)*m^(-2 : ℝ) := mul_le_mul_of_nonneg_left
(Real.rpow_le_rpow_of_exponent_le hm1 (by norm_num)) (by positivity)
/-- Summable expectations for the full empirical sampling error. -/
theorem sourceSamplingSquaredError_summable_integral (r : Bool) (b : SourceCoordinate → Bool)
(a c a' c' : SourceCoordinate → ℝ) :
Summable (fun stage => ∫ θ, sourceSamplingSquaredError stage r b
(fun i => Set.Icc (a i) (c i)) (fun i => Set.Icc (a' i) (c' i)) θ ∂sourceAngleLaw) := by
have hd := sourceSamplingDiagonalContribution_summable_integral r b
(fun i => Set.Icc (a i) (c i)) (fun i => Set.Icc (a' i) (c' i))
(fun _ => measurableSet_Icc) (fun _ => measurableSet_Icc)
have hb := hd.add (sourceSamplingCorrelationBudget_summable.mul_left 3)
apply hb.of_norm_bounded_eventually_nat
filter_upwards [sourceBlockSize_tendsto.eventually (eventually_ge_atTop 200000)] with stage hs
rw [Real.norm_eq_abs,abs_of_nonneg (integral_nonneg (sourceSamplingSquaredError_nonneg stage r b _ _))]
exact sourceSamplingSquaredError_expectation stage hs r b a c a' c'
/-- The full squared sampling error is summable and converges to zero on a
conull set of actual source angles. This is not just the self-pair event. -/
theorem sourceSamplingSquaredError_ae (r : Bool) (b : SourceCoordinate → Bool)
(a c a' c' : SourceCoordinate → ℝ) :
∀ᵐ θ ∂sourceAngleLaw,
Summable (fun stage => sourceSamplingSquaredError stage r b
(fun i => Set.Icc (a i) (c i)) (fun i => Set.Icc (a' i) (c' i)) θ) ∧
Tendsto (fun stage => sourceSamplingSquaredError stage r b
(fun i => Set.Icc (a i) (c i)) (fun i => Set.Icc (a' i) (c' i)) θ) atTop (𝓝 0) := by
have he := sampling_ae_summable_of_integrals sourceAngleLaw
(fun stage θ => sourceSamplingSquaredError stage r b (fun i => Set.Icc (a i) (c i)) (fun i => Set.Icc (a' i) (c' i)) θ)
(fun stage => sourceSamplingSquaredError_measurable stage r b _ _ (fun _ => measurableSet_Icc) (fun _ => measurableSet_Icc))
(fun stage => sourceSamplingSquaredError_integrable stage r b _ _ (fun _ => measurableSet_Icc) (fun _ => measurableSet_Icc))
(fun stage θ => sourceSamplingSquaredError_nonneg stage r b _ _ θ)
(sourceSamplingSquaredError_summable_integral r b a c a' c')
exact he.mono (fun θ hθ => ⟨hθ,hθ.tendsto_atTop_zero⟩)
/-- One source-angle event handles any countable family of interval tests,
orientations and triangular-coordinate choices for the full error. -/
theorem sourceSamplingSquaredError_countable_event {ι : Type*} [Countable ι]
(r : ι → Bool) (b : ι → SourceCoordinate → Bool)
(a c a' c' : ι → SourceCoordinate → ℝ) :
∀ᵐ θ ∂sourceAngleLaw, ∀ j,
Summable (fun stage => sourceSamplingSquaredError stage (r j) (b j)
(fun i => Set.Icc (a j i) (c j i)) (fun i => Set.Icc (a' j i) (c' j i)) θ) ∧
Tendsto (fun stage => sourceSamplingSquaredError stage (r j) (b j)
(fun i => Set.Icc (a j i) (c j i)) (fun i => Set.Icc (a' j i) (c' j i)) θ) atTop (𝓝 0) :=
ae_all_iff.mpr (fun j => sourceSamplingSquaredError_ae (r j) (b j) (a j) (c j) (a' j) (c' j))
end
end FiniteFactor
end OAI